EXPLORING THE SYNERGIES AND INNOVATIONS IN QUANTUM, CLOUD, AND FOG COMPUTING: A DETAILED REVIEW
DOI:
https://doi.org/10.29121/shodhkosh.v5.i6.2024.1806Keywords:
Qubit, Shor’s Algorithm, Iaas, Paas, SaasAbstract [English]
Utilizing quantum bits, or qubits, to surpass the capabilities of classical computing, quantum computing represents a new frontier in computer science. Its enormous potential promises significant breakthroughs in a number of fields, including secure communication, optimization, drug discovery, and cryptography. Many varieties of quantum computing, such as topological, adiabatic, circuit-based, and quantum annealing, provide different methods of computation, each with special advantages.
One of the mainstays of contemporary technology is cloud computing, which offers adaptable online access to computer resources. Because of its cross-industry adaptability, models like IaaS, PaaS, and SaaS provide data storage, streamlined operations, and collaborative work. Notwithstanding its advantages, cloud computing has problems with data transfer limits, downtime, and security.
By bringing cloud services closer to the network edge, fog computing enhances latency-sensitive applications and allows for real-time data processing. Fog computing improves response times and network efficiency and has applications in both IoT and smart cities. However, issues with sophisticated management, device variety, and security still exist. Every computing paradigm has unique benefits, but they also have unique difficulties. While cloud and fog computing prioritize edge computing and accessibility, quantum computing boasts processing capability never seen before. But each also has particular operational constraints and security issues. Leveraging the combined potential of these technologies for future breakthroughs requires their strategic integration.
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Copyright (c) 2024 Saurabh Shandilya, Keshav Dev Gupta, Jameel Ahmed Qureshi, Dr. Vaibhav Kumar Pradhan, Priyanka Sharma
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